基于Gerschgorin圆盘理论的认知无线电宽带频谱感知

doi:10.3969/j.issn.1000-436x.2014.04.001

Abstract

Abstract:

Gerschgorin disk theorem (GDT) based wideband spectrum sensing methods, namely Gerschgorin likelihood estimate(GLE) algorithm and Gerschgorin disk radii iteration(GDRI) algorithm, were proposed for cognitive radios. By means of exploring the possibility of utilizing GDT in wideband spectrum sensing, the occupied and the idle licensed subbands was distingwished by respectively identifying the cardinalities of the corresponding subband sets. With an aim to strengthen the performance of GLE and GDRI, a subband continuity based wideband sensing algorithm was further proposed. Simulation results show that GLE sensing performance remains consistent when the SNR is low, whereas GDRI requires no a priori knowledge of the noise power and the PU signal and it overcomes the practical problem of small spectrum observation samples. With salient performance and practical feasibility, the proposed GLE and GDRI may serve as candidate wideband sensing technologies for cognitive radios.

Key words: cognitive radio, wideband spectrum sensing, Gerschgorin disk theorem, Gerschgorin unitary transform

Bin SHEN,Shu WANG,Qiong HUANG,Qian-bin CHEN. Gerschgorin disk theorem based spectrum sensing for wideband cognitive radio[J]. Journal on Communications, 2014, 35(4): 1-10.

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References 16

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算法名称	感知算法	限制条件	判决方程
ISTT	Threshold test	噪声功率已知	式(1)
AIC/MDL	COSS/likelihood test	高斯信号	式(36)和式(37)
GAIC/GMDL	COSS/GLE	高斯信号	式(44)和式(45)
GDRI	COSS/Threshold test	迭代比较	式(49)

Gerschgorin disk theorem based spectrum sensing for wideband cognitive radio

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